Job Description
We are looking for an experienced Azure Data Engineer with strong expertise in Azure Databricks, PySpark, and Azure Data Platform services to design, develop, and optimize scalable data solutions.
Key Responsibilities
• Design and build scalable data pipelines using Azure Databricks and PySpark.
• Develop and maintain ETL/ELT workflows for batch and real-time data processing.
• Work with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), and Azure SQL services.
• Optimize data processing performance and ensure data quality and reliability.
• Collaborate with business stakeholders, data analysts, and architects to deliver data solutions.
• Implement data governance, security, and best practices in cloud data platforms.
Required
Skills:
• Strong hands-on experience with Azure Databricks and PySpark.
• Experience with Azure Data Factory (ADF) and ADLS Gen2.
• Proficiency in SQL and data modeling concepts.
• Valuable understanding of ETL, data warehousing, and big data processing.
• Experience with Git, CI/CD, and Agile methodologies. Preferred
Skills:
• Experience with Delta Lake, Spark Optimization, and Data Lake architecture.
• Knowledge of Azure Synapse Analytics.
• Azure Certification would be an added advantage.
📌 Azure Data Engineer (India)
🏢 Tata Consultancy Services
📍 India
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